PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #24
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #24: Real Exam Question with Answer & Explanation
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Question
Your team is working on an NLP research project to predict political affiliation of authors based on articles they have written. You have a large training dataset that is structured like this: You followed the standard 80%-10%-10% data distribution across the training, testing, and evaluation subsets. How should you distribute the training examples across the train-test-eval subsets while maintaining the 80-10-10 proportion?
Options
- ADistribute texts randomly across the train-test-eval subsets:
- BDistribute authors randomly across the train-test-eval subsets: (*)
- CDistribute sentences randomly across the train-test-eval subsets:
- DDistribute paragraphs of texts (i.e., chunks of consecutive sentences) across the train-test-eval
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